class_docstr: provide context to allow param_info to have different regularizers
code: def has_regularizer(self, name):
      return self._has_modifier(name)
  
file_path: pytorch/caffe2/python/regularizer_context.py
imports: from caffe2.python import context
  from caffe2.python.modifier_context import ModifierContext, UseModifierBase
label_desc: Use image node_id 1 for calling the RegularizerContext obj's underlying member method code with example usage: obj.has_regularizer(name) and returns: self